I am a Ph.D. student at the School of Artificial Intelligence, Beihang University. I am interested in offline reinforcement learning and uncertainty quantification.

Education

• Ph.D. in Electronics and Informatics, School of Artificial Intelligence, Beihang University, 2022-2027 (expected)
• B.Sc. in Mathematics (Hua Loo-Keng Talent Program in Mathematics), School of Mathematical Sciences, Beihang University, 2018-2022

Experience

• 2022 - Present: Key Laboratory of Mathematics, Informatics and Behavioral Semantics (LMIB), MoE, Beihang University
  • Research area: Reinforcement Learning, Uncertainty Quantification
• 2021: “Safety in Intelligence and Game Intelligence” Summer School, Beihang University

Publications

ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample V-Ensemble

Tianyuan Chen, Ronglong Cai, Faguo Wu, and Xiao Zhang. "ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-Sample V-Ensemble." In International Conference on Learning Representations, 2025.

Offline RL with Smooth OOD Generalization in Convex Hull and Its Neighborhood

Qingmao Yao, Zhichao Lei, Tianyuan Chen, Ziyue Yuan, Xuefan Chen, Jianxiang Liu, Faguo Wu, and Xiao Zhang. “Offline RL with Smooth OOD Generalization in Convex Hull and Its Neighborhood.” In International Conference on Learning Representations, 2025.